Do you realize how important input is when using AI tools?

Hello brothers and sisters on BHW,

Lately, I’ve noticed that many people are frustrated when working with AI. A lot of comments revolve around things like AI being overrated, outputs being generic, or models not being “smart enough” for real work.
As I read those threads, I see a lot of my past self in them. I went through the same phase — blaming the tool instead of looking at how I was using it. After working with AI daily for analysis, content, and operational tasks, one thing became very clear to me: most AI failures come from bad input, not bad models.
Today, I want to share some observations about AI input, purely as a contribution to the BHW community. No selling, no hype — just practical experience.
Preparation: Understand how AI actually works
AI doesn’t understand your business by default.
It doesn’t know:

• what you’re selling
• who your audience is
• which metrics matter
• what constraints you’re operating under

If you don’t explicitly define those, AI will fill the gaps with generic assumptions. That’s where most “useless output” comes from.
Step 1: Define the role clearly
If you don’t assign a role, AI responds like an average internet writer.
Instead of:
“Analyze this data”
Try:
“Act as a performance marketer optimizing for CPA and ROI.”

Same data, completely different output quality.
Step 2: Provide real context (not fluff)
Context doesn’t mean long prompts.
It means relevant boundaries:

• price range
• market (US, EU, local)
• traffic source
• business model

Without context, AI guesses. And AI guesses wrong more often than people think.
Step 3: Give a decision-oriented task
Vague tasks lead to vague answers.
Bad tasks:

• “Give suggestions”
• “Improve this”
• “What do you think?”

Better tasks:

• “Identify bottlenecks”
• “Decide what to kill”
• “Prioritize next actions”

AI performs best when it’s helping you make a decision, not brainstorm endlessly.
Step 4: Force a usable format
If you don’t specify output format, AI will ramble.
Once you ask for:

• tables
• checklists
• action plans (kill / fix / scale)

The output suddenly becomes something you can actually use.
Final thoughts

After spending enough time with AI, I don’t think it replaces skill or experience. What it really does is amplify clarity. If your thinking is messy, AI exposes that very quickly. If your thinking is structured, AI becomes a serious leverage tool.
Some people will agree with this, some won’t. That’s normal. I’m not here to argue or convince anyone — just sharing what consistently worked for me.
Try tightening your input before blaming the model. You’ll notice the difference yourself.
If there’s interest, I can share follow-up posts on:

• how I design AI input for automation
• how to use AI for decision-making instead of content fluff
• real examples: same data, different input, totally different output

Wishing everyone steady progress and fewer wasted hours with AI.
Peace.

Good prompting produces good result. Why do i feel you wrote the above with GPT?

ltesocksio said:

Good prompting produces good result. Why do i feel you wrote the above with GPT?

Click to expand...

Hahah it is ai generated maybe he used ai to polish it but it is ai generated

ltesocksio said:

Good prompting produces good result. Why do i feel you wrote the above with GPT?

Click to expand...

You might be right. But I think the more interesting part is the value of the ideas themselves, especially when the input is intentionally structured and controlled.

MaximYoru said:

Hahah it is ai generated maybe he used ai to polish it but it is ai generated

Click to expand...

Sure, AI may have been used. But the real point is whether controlling the input leads to useful insights for the community.

Good prompting always wins but context building is king. Have a very long conversation with an AI dump a bunch of content into the conversation.

Then use that prompt.

The problem is Ai want to get from A to Z as efficient as possible. You got to break that by bringing it along the journey with you. Then Bam hit it with a detailed prompt like the one above.

Yes, input matters a lot clear and specific prompts help AI give more accurate, useful, and less generic results.

Yeah I know I agree.
I like to end my prompts with something like:
Always output put your responses in this format from this point on:
[Title]
[Short Description]
...
[Long] Description]


Or something to that effect. I do know I'm with ya.

garbage in, garbage out is real with ai